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cs.CV2025
Stable Single-Pixel Contrastive Learning for Semantic and Geometric Tasks
Leonid Pogorelyuk, Niels Bracher, Aaron Verkleeren +2
We pilot a family of stable contrastive losses for learning pixel-level representations that jointly capture semantic and geometric information. Our approach maps each pixel of an…
cs.CV2021
Conditional Invertible Neural Networks for Diverse Image-to-Image Translation
Lynton Ardizzone, Jakob Kruse, Carsten Lüth +3
We introduce a new architecture called a conditional invertible neural network (cINN), and use it to address the task of diverse image-to-image translation for natural images. This…